Mechanisms of diurnal precipitation over the United States Great
Plains:
A cloud-resolving model simulation
Lee, I. Choi, W.-K. Tao, S. D. Schubert, and l.-K. Kang
The mechanisms of summertime diurnal precipitation in the US
Great
Plains were examined with the two-dimensional (2D) Goddard
Cumulus
Ensemble (GCE) cloud-resolving model (CRM). The model was
constrained by
the observed large-scale background state and surface flux derived
from
the Department of Energy (DOE) Atmospheric Radiation
Measurement (ARM)
Program’s Intensive Observing Period (IOP) data at the Southern
Great
Plains (SGP). The model, when continuously-forced by realistic
surface
flux and large-scale advection, simulates reasonably well the
temporal
evolution of the observed rainfall episodes, particularly for the
strongly forced precipitation events. However, the model exhibits a
deficiency for the weakly forced events driven by diurnal
convection.
Additional tests were run with the GCE model in order to
discriminate
between the mechanisms that determine daytime and nighttime
convection.
In these tests, the model was constrained with the same repeating
diurnal variation in the large-scale advection and/or surface flux.
The results indicate that it is primarily the surface heat and
moisture
flux that is responsible for the development of deep convection in
the
afternoon, whereas the large-scale upward motion and associated
moisture
advection play an important role in preconditioning nocturnal
convection. In the nighttime, high clouds are continuously built up
through their interaction and feedback with long-wave radiation,
eventually initiating deep convection from the boundary layer.
Without
these upper-level destabilization processes, the model tends to
produce
only daytime convection in response to boundary layer heating.
This study suggests that the correct simulation of the diurnal
variation
in precipitation requires that the free-atmospheric destabilization
mechanisms resolved in the CRM simulation must be adequately
parameterized in current general circulation models (GCMs) many of
which
are overly sensitive to the parameterized boundary layer heating.